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About this Episode
Today we're joined by Jordan Edwards, Principal Program Manager for MLOps on Azure ML at Microsoft.
In our conversation, Jordan details how Azure ML accelerates model lifecycle management with MLOps, which enables data scientists to collaborate with IT teams to increase the pace of model development and deployment. We discuss various problems associated with generalizing ML at scale at Microsoft, and how those problems are prioritized, what exactly is MLOps, what the role of testing is in an MLOps environment, and experiences working with customers to implement these tests. Finally, we explore what are the "four phases" along the journey of customer implementation of MLOps, how companies should look at hiring ML Engineers vs DevOps Engineers, and other aspects of managing model life cycles that Jordan finds important for us to think about.
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